US6200139B1 - Operator training system - Google Patents
Operator training system Download PDFInfo
- Publication number
- US6200139B1 US6200139B1 US09/258,848 US25884899A US6200139B1 US 6200139 B1 US6200139 B1 US 6200139B1 US 25884899 A US25884899 A US 25884899A US 6200139 B1 US6200139 B1 US 6200139B1
- Authority
- US
- United States
- Prior art keywords
- operator
- vehicle
- looks
- information
- course
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Lifetime
Links
Images
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B19/00—Teaching not covered by other main groups of this subclass
- G09B19/16—Control of vehicles or other craft
- G09B19/167—Control of land vehicles
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
- G09B9/02—Simulators for teaching or training purposes for teaching control of vehicles or other craft
- G09B9/04—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
- G09B9/042—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles providing simulation in a real vehicle
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
- G09B9/02—Simulators for teaching or training purposes for teaching control of vehicles or other craft
- G09B9/04—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
- G09B9/05—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles the view from a vehicle being simulated
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B9/00—Simulators for teaching or training purposes
- G09B9/02—Simulators for teaching or training purposes for teaching control of vehicles or other craft
- G09B9/04—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
- G09B9/052—Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles characterised by provision for recording or measuring trainee's performance
Definitions
- This invention related generally to systems for training and evaluating operators of vehicles such as automobiles, trucks, airplanes, trains, boats and the like.
- vehicle operators may be trained using simulators.
- aircraft training simulators are known which expose the operator to a variety of different conditions and evaluate the operator's response to those conditions.
- automated driver testing the driver may be asked a series of questions and his or her answers are then checked against the correct answers in a computer database. All of these approaches respond to the need to obtain better and lower cost evaluation and training of vehicle operators. This hopefully improves the performance of those operators and reduces their training cost.
- Some characteristics of a good operator may be difficult to assess.
- a trainer may watch the operator for certain characteristics such as checking rear view mirrors, and checking gauges and the like.
- an objective evaluation of whether the person has mastered the skills necessary to operate the vehicle correctly may be difficult to obtain. For example, it may be difficult to compare the abilities of one driver quantitatively to those of other drivers.
- a vehicle operator training system may include a sensor adapted to sense what an operator looks at.
- a controller is adapted to record information about what the operator looked at.
- FIG. 1 is a front elevational view of the front cockpit area of a vehicle as seen by the operator;
- FIG. 2 is a block diagram of an apparatus for detecting what an operator looks at in the course of operating a vehicle
- FIG. 3 is a flow chart for determining what the operator is looking at while operating a vehicle
- FIG. 4 shows a flow chart for evaluating an operator in accordance with one embodiment of the present invention
- FIG. 5 is a diagram showing one embodiment of a processor based system for implementing the system shown in the preceding figures.
- FIG. 6 is a screen display showing a simulated playback display of a driver's performance in accordance with one embodiment of the invention.
- a vehicle operator may sit in a cockpit 10 which may be a simulator or an actual vehicle such as an automobile, truck, airplane, train or boat, as examples.
- the cockpit 10 may include a windshield 12 , a dashboard 14 , a steering wheel 16 , a rear view mirror 18 , and a side view mirror 20 . It may also include a gaze camera 26 and an eye camera 28 .
- the gaze camera 26 may be coupled by a pan/tilt unit 22 to infrared light emitting diodes (LEDs) 24 .
- the cameras 26 and 28 provide the input information to determine what the operator looks at in the course of operating the vehicle. This can be used to evaluate whether the operator is appropriately using sources of information to effectively operate the vehicle.
- the system may determine whether the operator looks out the front windshield 12 , whether the operator scans around the front windshield, whether the operator checks the side view mirror 20 and the rear view mirror 18 and whether the operator checks the various gauges provided on the dashboard 14 .
- the eye camera 28 may have a short focal distance and may be used to measure the three dimensional eye position.
- the gaze camera 26 may be used to determine a gaze function. It may have a long focal distance and may be panned and tilted to follow the eye when the head moves.
- the infrared LED array 24 may be mounted a short distance from the optical axis of gaze camera to illuminate the eye and to cause a reflection on the eye that may be useful in tracking the movement of the eye.
- a system is described herein for determining what the user is looking at, using eye and gaze tracking, principle component analysis and an infrared LED array.
- the invention is in no way limited to this technology. Instead, this technology is merely described to illustrate one technique for determining what the operator is looking at while operating the vehicle.
- Other known techniques for determining what a person looks at include using head mounted cameras. For example, a grid of LEDs may be pulsed in sequence. The camera image may be processed to detect flashes.
- Another system uses a number of video cameras to capture simultaneous images that are coordinated to track an object.
- the eye tracker 34 and gaze tracker 38 receive inputs from the cameras 26 and 28 . Namely, as illustrated by the image 32 , the eye tracker receives a digital image from the camera 26 which corresponds to a face shot of the operator. At the same time, the gaze tracker 38 receives an image of one or both of the operator's eyes. The eye tracker analyzes the video image of the eye camera 28 and detects and tracks three dimensional eye position. In addition, either or both pupils may be detected and tracked to allow calculation of the three dimensional
- the eye tracker 34 may cause the eye camera 28 to be panned and tilted, using the pan/tilt unit 40 , to follow the position of the eye as the operator's head moves.
- Motion compensation may be provided as indicated at block 42 to compensate for operator head movement.
- a still head camera image may be received for analysis. Dark regions called valleys may be identified and eliminated to expedite the ensuing analysis.
- Principal component analysis may be used to locate the operator's eyes.
- characteristics of human eyes may be recorded to locate eye position using PCA. These characteristics may be stored as reference eye patterns called eigenfaces.
- the camera 26 image may then be analyzed and compared with the stored eye patterns to locate the eyes. In one embodiment, these determined eye locations may be searched in another stereoscopic camera image (if an additional camera is used). By stereo matching, the three dimensional positions of both eyes can be determined. This information may then be used to control the pan and tilt unit 22 of the eye camera 26 .
- a cornea-reflex method may be used to determine the gaze direction.
- Low power infrared LEDs 24 may be mounted on the pan tilt unit 22 at one side of the camera 26 with the normal of the array surface parallel to the optical axis of the camera 26 .
- the LEDs 24 may illuminate the eye and generate a highlight on the cornea.
- a cornea reflex algorithm may identify the center of one or both of the pupils and the center of the cornea surface reflection. The distance between the two centers and their orientation may be used to determine gaze direction.
- the change in gaze direction due to head movement may be compensated using information regarding the three dimensional head position.
- PCA represents the general characteristics of human eyes using relatively few dimensions.
- PCA transforms a luminance description of the eyes into a different coordinate system. This coordinate system is such that the mean square error arising from truncating basic vectors of the coordinate system is reduced.
- the input from the camera 28 may be used to develop the head view shown at 32 in FIG. 2 and as indicated at block 46 and FIG. 3 .
- the system may deduce some initial characteristics of facial features. For example, dark areas may be eliminated since they may not be as useful in locating facial features that indicate eye location.
- facial feature detection may be implemented using PCA.
- the three dimensional eye position may be determined using either a single camera or a pair of stereoscopic cameras. The location of the pupil may then be detected using pattern recognition and/or cornea reflection analysis as indicated in block 58 using the input from camera 26 as indicated at 36 in FIG. 2 .
- the highlight caused by the LED reflection on the cornea may be detected as indicated in block 60 and a displacement factor determined as indicated in block 62 .
- the displacement factor corrects for movement of the head, using information from the other camera 28 .
- the PCA analysis is utilized to determine the gaze direction (block 64 ), as indicated at block 66 .
- a plurality of cameras may be distributed around the cockpit to facilitate face location when the user turns around. For example, when the operator turns to look behind the vehicle, the cameras 26 , 28 may “lose” the operator's face. The cameras distributed about the cockpit can be used to detect the position of the operator's face. This information may be analyzed to determine whether the operator's actions were appropriate.
- the gaze direction may be used to evaluate or train the operator.
- software 66 may begin by receiving eye movement information as indicated in block 68 . In one embodiment, this may be information about what the eye is actually looking at, at any instance in time. This information may then be resolved into gaze coordinates as indicated in block 70 .
- the gaze coordinates may correspond to targets such as the side view or rear view mirrors.
- the gaze coordinates may include information about what the eye is actually looking at any instance in time.
- the gaze coordinates information may be resolved into gazed upon targets as indicated in block 70 . Knowing the gaze coordinates of the operator and coordinates of gaze targets, the particular object being viewed can be determined.
- the gazed upon targets correspond to targets such as the side view or rear view mirrors, the instrument panel and the front windshield in an automobile.
- the coordinates of each of these objects may be compared to a given gaze direction and when the gaze direction detected by the system 30 correlates generally to a given target's coordinates, that gaze information can be resolved to determine that the operator's gaze is directed to one of the known gaze targets.
- the target gaze frequency may be determined by determining how many times the operator looked at a given gaze target or object, as indicated in block 72 . In this way, the system can determine in a given predefined course of travel how many times the operator looked at given objects.
- the operator may operate the vehicle, travelling a simulated course in which the number of times which the operator should check each target may be known.
- the operator may operate the vehicle over a known course wherein it is known how many times the operator should reasonably be expected to check the various gaze targets.
- the target gaze frequency information may be correlated and compared to standard ranges of gaze frequencies. For example, it may be determined that on average the operator should check the rear view mirror X number of times per hour. Knowing the predetermined frequency, an analysis may be undertaken to determine if the operator's performance falls within established norms.
- a check determines whether the operator should be prompted to change his or her gaze frequency. Rather then simply evaluating the user, the system may train the operator to increase his or her frequency of checking particular sources of information. For example, if it is determined that the operator is not checking the rear view mirror frequently enough, the operator could be prompted as indicated in block 76 to check the rear view mirror more often.
- the system may also receive other information including the vehicle's speed as indicated in block 78 .
- the speed history may be recorded and may be compared to known speed limits or known speed recommendations for a given course.
- the system may receive control information as indicated in block 82 .
- the system may record when and how often the operator applies the brakes or other controls and how often the operator uses the turn indicator or other indications. As before, this information may be compared to what is expected over a predefined course or to norms in other cases.
- the system may also receive vehicle position information, as indicated by block 83 .
- Vehicle locating apparatus such as a global positioning system (GPS) receiver may be used to determine the vehicle's position and that information may be correlated with gaze target information. The system can then evaluate whether the operator was looking at what the operator should have been looking at, at a given position, for example, in a predefined training or evaluation course.
- GPS global positioning system
- the operator's gaze target frequency, speed and control/indicator performance may be evaluated. This may be done by comparing the operator's performance to a database of normal values over a wide range of different operators over different courses and conditions. Alternatively, it may be developed by comparing the operator's performance over a known course to expected performance. The operator may then be provided information about how his or her operating skills compare to what is expected. This may be used to evaluate the operator in the case of operator testing or to provide feedback to the operator about how to improve his or her performance.
- a processor based system 100 for implementing one embodiment of the invention, shown in FIG. 5, includes a processor 102 .
- the processor may be coupled to an accelerated graphics port (AGP) (see Accelerated Graphics Port Interface Specification, version 1.0, published on Jul. 31, 1996, by Intel Corporation, Santa Clara, Calif.) chipset 104 for implementing an accelerated graphics port embodiment.
- AGP Accelerated Graphics Port Interface Specification
- Chipset 104 may communicate with the AGP port 105 and the graphics accelerator 106 .
- a display 110 may be coupled to the video output of the graphics accelerator 106 .
- chipset 104 may also be coupled to the system memory 108 and to a bus 112 .
- the bus 112 is also coupled to the motion compensator 42 . It may receive input signals from the cameras 26 and 28 and provide output signals to the pan/tilt unit 22 and the array 24 .
- the bus 112 may also be coupled to a bridge 116 which couples a hard disk drive 118 .
- the software 66 may be stored on the hard disk drive 118 together with eigenface information 116 and the calibration database 114 .
- the bridge 116 may also coupled to another bus 132 .
- the bus 132 may be coupled to a serial input/output (SIO) device 134 .
- the device 134 may receive serial inputs from a control interface 136 , an indicator interface 138 and a speed interface 140 , each coupled to receive information from the vehicle and a position location system 144 .
- a basic input/output system (BIOS) 142 is also coupled to the bus 132 .
- a processor based playback of a vehicle operating session may be undertaken to provide either performance evaluation or feedback to a given operator.
- the display screen 110 may include a display which includes a dashboard 86 , steering column 88 and driver 90 in a simulated format. The driver's line of sight is indicated by dashed line 92 .
- the driver's line of sight over time and at particular locations can be recreated as a graphical user interface such as the dashed line 92 shown in FIG. 6 .
- the trainee and the trainer can view what the operator was looking at, at given instances of time and in given situations.
- the display portion 94 may provide information about the circumstances at each instance of time.
- a global positioning system landmark may be indicated on the display, in one embodiment, to provide information about where the vehicle was when the operator was looking in a given gaze direction.
- the information displayed on the screen, as indicated in 94 may include, for each instance of time, course conditions, weather indications, speed indications, a braking factor indicating the use of the brakes and a blind spot factor indicating how effective the driver was in monitoring blind spots.
- the trainee may view his or her performance replayed at regular time intervals or continuously along a given course.
- the replay may also indicate where the vehicle was when the operator reacted in a given fashion.
- the system 30 may also provide exterior events which may be triggered by the system to either evaluate the operator's performance or to provide a training exercise. Exterior event generation may be synchronized with the vehicle's position as provided by a global positioning system receiver. For example, another vehicle may be caused to move into the vehicle's line of travel when the vehicle approaches a given position. The operator's response to the event, including how the operator's line of sight detects the event and how the operator responds, may be evaluated by the processor based system.
- the exterior events may be based on set scripts triggered by global positioning coordinates of the vehicle to test the operator's performance under given conditions.
- the operator's response time to a given event may also be determined and recorded.
- the system may adaptively generate events which require viewing in that region. In this way, the operator can be conditioned to overcome bad habits, having seen the consequences of failing to maintain a wide range of view.
- the operator's response to conditions keyed to land markers may be judged. For example, if GPS coordinates are known for the lane stripes, one can determine, based on global positioning system coordinates, whether the operator maintained a central position within his or her lane or wandered to the left or the right.
- the system may also receive weather and time of day inputs which may be taken into account in evaluating the operator's performance.
- Weather, traffic conditions and other information may be retrieved from the Internet or by sensors along the way. This information may be used to evaluate the operator's performance under the existing conditions.
- the line of sight indicator may be overlaid onto the recorded image.
- video playback can provide more detailed feedback about what was occurring relative to the operator's line of sight and other operator reactions.
Abstract
Description
Claims (25)
Priority Applications (11)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US09/258,848 US6200139B1 (en) | 1999-02-26 | 1999-02-26 | Operator training system |
TW088123109A TW440807B (en) | 1999-02-26 | 1999-12-28 | Operator training system |
AU25028/00A AU2502800A (en) | 1999-02-26 | 2000-01-12 | Operator training system |
PCT/US2000/000723 WO2000051097A2 (en) | 1999-02-26 | 2000-01-12 | Operator training system |
CNB008043183A CN1248174C (en) | 1999-02-26 | 2000-01-12 | Operator training system |
JP2000601623A JP3787493B2 (en) | 1999-02-26 | 2000-01-12 | Vehicle driver training system, vehicle driver evaluation method, and apparatus |
DE60009057T DE60009057T2 (en) | 1999-02-26 | 2000-01-12 | TRAINING SYSTEM FOR OPERATORS |
AT00903253T ATE262207T1 (en) | 1999-02-26 | 2000-01-12 | TRAINING SYSTEM FOR OPERATORS |
KR10-2001-7010227A KR100416152B1 (en) | 1999-02-26 | 2000-01-12 | Operator training system |
EP00903253A EP1177544B1 (en) | 1999-02-26 | 2000-01-12 | Operator training system |
JP2005323273A JP2006163375A (en) | 1999-02-26 | 2005-11-08 | Vehicle operator training system and vehicle operator evaluating method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US09/258,848 US6200139B1 (en) | 1999-02-26 | 1999-02-26 | Operator training system |
Publications (1)
Publication Number | Publication Date |
---|---|
US6200139B1 true US6200139B1 (en) | 2001-03-13 |
Family
ID=22982383
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US09/258,848 Expired - Lifetime US6200139B1 (en) | 1999-02-26 | 1999-02-26 | Operator training system |
Country Status (10)
Country | Link |
---|---|
US (1) | US6200139B1 (en) |
EP (1) | EP1177544B1 (en) |
JP (2) | JP3787493B2 (en) |
KR (1) | KR100416152B1 (en) |
CN (1) | CN1248174C (en) |
AT (1) | ATE262207T1 (en) |
AU (1) | AU2502800A (en) |
DE (1) | DE60009057T2 (en) |
TW (1) | TW440807B (en) |
WO (1) | WO2000051097A2 (en) |
Cited By (59)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6397137B1 (en) * | 2001-03-02 | 2002-05-28 | International Business Machines Corporation | System and method for selection of vehicular sideview mirrors via eye gaze |
JP2002538498A (en) * | 1999-02-26 | 2002-11-12 | インテル コーポレイション | Vehicle driver training system, vehicle driver evaluation method, and device |
US20030012408A1 (en) * | 2001-05-09 | 2003-01-16 | Jean-Yves Bouguet | Method and system using a data-driven model for monocular face tracking |
US6612841B2 (en) * | 2000-12-08 | 2003-09-02 | Daimler Chrysler Ag | Information system for providing explanatory information on functional elements or controls in motor vehicles |
WO2004015653A1 (en) * | 2002-08-09 | 2004-02-19 | Best Practice Deployment As | A system for computer assisted driving lessons |
US20040150514A1 (en) * | 2003-02-05 | 2004-08-05 | Newman Timothy J. | Vehicle situation alert system with eye gaze controlled alert signal generation |
US20040167761A1 (en) * | 2002-04-05 | 2004-08-26 | Konstantin Sizov | Portable in-the-vehicle road simulator |
US20060200277A1 (en) * | 2005-03-02 | 2006-09-07 | Denso Corporation | Driving evaluation system and server |
US20070047517A1 (en) * | 2005-08-29 | 2007-03-01 | Hua Xu | Method and apparatus for altering a media activity |
US7245741B1 (en) * | 2000-11-14 | 2007-07-17 | Siemens Aktiengesellschaft | Method and device for determining whether the interior of a vehicle is occupied |
US20070219685A1 (en) * | 2006-03-16 | 2007-09-20 | James Plante | Vehicle event recorders with integrated web server |
US20070257815A1 (en) * | 2006-05-08 | 2007-11-08 | Drivecam, Inc. | System and method for taking risk out of driving |
US20070257804A1 (en) * | 2006-05-08 | 2007-11-08 | Drivecam, Inc. | System and Method for Reducing Driving Risk With Foresight |
US20070271078A1 (en) * | 2002-06-25 | 2007-11-22 | New York Air Brake Corporation | Remote Control Locomotive Simulator |
US20070271105A1 (en) * | 2006-05-09 | 2007-11-22 | Drivecam, Inc. | System and Method for Reducing Driving Risk With Hindsignt |
US20070280505A1 (en) * | 1995-06-07 | 2007-12-06 | Automotive Technologies International, Inc. | Eye Monitoring System and Method for Vehicular Occupants |
US20080048930A1 (en) * | 1999-12-15 | 2008-02-28 | Automotive Technologies International, Inc. | Vehicular Heads-Up Display System |
US20080111666A1 (en) * | 2006-11-09 | 2008-05-15 | Smartdrive Systems Inc. | Vehicle exception event management systems |
US20080158096A1 (en) * | 1999-12-15 | 2008-07-03 | Automotive Technologies International, Inc. | Eye-Location Dependent Vehicular Heads-Up Display System |
US20080208646A1 (en) * | 2007-02-28 | 2008-08-28 | Thompson Ralph E | Method for increasing productivity and safety in the mining and heavy construction industries |
US20080276191A1 (en) * | 1999-12-15 | 2008-11-06 | Automotive Technologies International, Inc. | Vehicular Heads-Up Display System |
US20090040196A1 (en) * | 2003-08-27 | 2009-02-12 | Bernd Duckstein | Method of controlling the display of various data in a vehicle and Opto-acoustic data unit |
US20090063053A1 (en) * | 2007-09-04 | 2009-03-05 | International Business Machines Corporation | Method and system for blind spot identification and warning utilizing visual indicators |
US20090157255A1 (en) * | 2005-12-08 | 2009-06-18 | Smart Drive Systems, Inc. | Vehicle Event Recorder Systems |
US20090191531A1 (en) * | 2007-12-21 | 2009-07-30 | Joseph Saccocci | Method and Apparatus for Integrating Audio and/or Video With a Book |
US20100160014A1 (en) * | 2008-11-25 | 2010-06-24 | Mario Galasso | Methods and apparatus for virtual competition |
EP2296124A1 (en) * | 2008-06-06 | 2011-03-16 | Yamashiro Driving School | System for automatic evaluation of driving behavior |
US20120259246A1 (en) * | 2010-09-15 | 2012-10-11 | Erbicol Sa | Reflex measuring apparatus determining the reactivity of a driver and its application |
US20130004920A1 (en) * | 2010-03-24 | 2013-01-03 | Krauss-Maffei Wegmann Gmbh & Co. Kg | Method for Training a Crew Member of a, in Particular, Military Vehicle |
US20130083197A1 (en) * | 2010-05-25 | 2013-04-04 | Fujitsu Limited | Storage managing method and storage management device |
US20130280678A1 (en) * | 2012-04-23 | 2013-10-24 | The Boeing Company | Aircrew training system |
US20130302759A1 (en) * | 2009-09-29 | 2013-11-14 | Advanced Training System Llc | System, Method and Apparatus for Driver Training System with Dynamic Mirrors |
US8880279B2 (en) | 2005-12-08 | 2014-11-04 | Smartdrive Systems, Inc. | Memory management in event recording systems |
US8892310B1 (en) | 2014-02-21 | 2014-11-18 | Smartdrive Systems, Inc. | System and method to detect execution of driving maneuvers |
US8989959B2 (en) | 2006-11-07 | 2015-03-24 | Smartdrive Systems, Inc. | Vehicle operator performance history recording, scoring and reporting systems |
US9082315B2 (en) | 2012-03-08 | 2015-07-14 | Industrial Technology Research Institute | Surrounding bird view monitoring image generation method and training method, automobile-side device, and training device thereof |
US20150310758A1 (en) * | 2014-04-26 | 2015-10-29 | The Travelers Indemnity Company | Systems, methods, and apparatus for generating customized virtual reality experiences |
US9183679B2 (en) | 2007-05-08 | 2015-11-10 | Smartdrive Systems, Inc. | Distributed vehicle event recorder systems having a portable memory data transfer system |
US9201842B2 (en) | 2006-03-16 | 2015-12-01 | Smartdrive Systems, Inc. | Vehicle event recorder systems and networks having integrated cellular wireless communications systems |
US20160107642A1 (en) * | 2014-10-15 | 2016-04-21 | Continental Automotive Systems, Inc. | Collision avoidance system using driver eye monitoring during gear change |
US9501878B2 (en) | 2013-10-16 | 2016-11-22 | Smartdrive Systems, Inc. | Vehicle event playback apparatus and methods |
US9554080B2 (en) | 2006-11-07 | 2017-01-24 | Smartdrive Systems, Inc. | Power management systems for automotive video event recorders |
CN106530890A (en) * | 2016-02-03 | 2017-03-22 | 北京易驾佳信息科技有限公司 | Intelligent driving training system and method based on vehicle posture and trajectory perception |
US9610955B2 (en) | 2013-11-11 | 2017-04-04 | Smartdrive Systems, Inc. | Vehicle fuel consumption monitor and feedback systems |
US9639804B1 (en) | 2016-03-22 | 2017-05-02 | Smartdrive Systems, Inc. | System and method to determine responsiveness of a driver of a vehicle to feedback regarding driving behaviors |
US9663127B2 (en) | 2014-10-28 | 2017-05-30 | Smartdrive Systems, Inc. | Rail vehicle event detection and recording system |
US9728228B2 (en) | 2012-08-10 | 2017-08-08 | Smartdrive Systems, Inc. | Vehicle event playback apparatus and methods |
US9792319B2 (en) | 2006-05-08 | 2017-10-17 | Lytx, Inc. | System and method for identifying non-event profiles |
US10102773B2 (en) | 2012-04-23 | 2018-10-16 | The Boeing Company | Methods for evaluating human performance in aviation |
CN109102194A (en) * | 2018-08-20 | 2018-12-28 | 合肥优控科技有限公司 | A kind of driving behavior methods of marking based on global positioning system and inertial sensor |
US20190304325A1 (en) * | 2018-03-30 | 2019-10-03 | Cae Inc. | Standard operating procedures feedback during an interactive computer simulation |
WO2020031949A1 (en) * | 2018-08-07 | 2020-02-13 | 国立大学法人名古屋大学 | Information processing device, information processing system, information processing method, and computer program |
US10625745B1 (en) * | 2019-01-07 | 2020-04-21 | Sean Tremblay | Automated driver's exam system |
US10692392B2 (en) * | 2016-11-02 | 2020-06-23 | Kyocera Document Solutions Inc. | Display apparatus and method for displaying guidance video |
US10699556B1 (en) | 2019-03-01 | 2020-06-30 | Honeywell International Inc. | System and method for plant operation gap analysis and guidance solution |
US10930093B2 (en) | 2015-04-01 | 2021-02-23 | Smartdrive Systems, Inc. | Vehicle event recording system and method |
US11037461B2 (en) | 2009-09-29 | 2021-06-15 | Advance Training Systems LLC | System, method and apparatus for adaptive driver training |
US11069257B2 (en) | 2014-11-13 | 2021-07-20 | Smartdrive Systems, Inc. | System and method for detecting a vehicle event and generating review criteria |
US11875707B2 (en) | 2009-09-29 | 2024-01-16 | Advanced Training Systems, Inc. | System, method and apparatus for adaptive driver training |
Families Citing this family (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7565230B2 (en) * | 2000-10-14 | 2009-07-21 | Temic Automotive Of North America, Inc. | Method and apparatus for improving vehicle operator performance |
CN1294510C (en) * | 2003-01-28 | 2007-01-10 | 中国南方航空股份有限公司 | Computer-aided teaching system and method for stimulated aviation training |
JP2005208478A (en) * | 2004-01-26 | 2005-08-04 | Ota Hiroo | Simulation driving apparatus |
JP4565445B2 (en) * | 2004-03-18 | 2010-10-20 | 国立大学法人 奈良先端科学技術大学院大学 | Face information measurement system |
JP4540507B2 (en) * | 2005-03-07 | 2010-09-08 | 株式会社日立国際電気 | Behavior training content display method |
JP4682714B2 (en) * | 2005-06-14 | 2011-05-11 | トヨタ自動車株式会社 | Dialog system |
JP2007264490A (en) * | 2006-03-29 | 2007-10-11 | National Univ Corp Shizuoka Univ | Information presentation evaluation system |
CN100483478C (en) * | 2006-09-06 | 2009-04-29 | 李宏 | Training system for imitating operate of excavator |
JP2008139553A (en) * | 2006-12-01 | 2008-06-19 | National Agency For Automotive Safety & Victim's Aid | Driving aptitude diagnosing method, evaluation standard determining method for driving aptitude diagnosis, and driving aptitude diagnostic program |
KR100898417B1 (en) * | 2007-06-08 | 2009-06-19 | 샬롬엔지니어링 주식회사 | A simulation system for operating train |
WO2008151942A2 (en) * | 2007-06-14 | 2008-12-18 | Driving Performance Solutions As | System for performing driver education |
EP3333831A1 (en) * | 2007-07-13 | 2018-06-13 | Volvo Construction Equipment AB | A work machine |
JP2009107373A (en) * | 2007-10-26 | 2009-05-21 | Equos Research Co Ltd | Alarm sound output device |
AU2010295239B2 (en) | 2009-09-16 | 2015-04-23 | Sydac Pty Ltd | Visual presentation system |
KR101364080B1 (en) | 2009-12-17 | 2014-02-20 | 한국전자통신연구원 | Method and apparatus for evaluating safe driving |
WO2011126379A1 (en) * | 2010-04-04 | 2011-10-13 | Driving Performance Solutions As | A system and method for drivers training |
EP3527121B1 (en) * | 2011-02-09 | 2023-08-23 | Apple Inc. | Gesture detection in a 3d mapping environment |
US9377863B2 (en) | 2012-03-26 | 2016-06-28 | Apple Inc. | Gaze-enhanced virtual touchscreen |
JP5946349B2 (en) * | 2012-07-24 | 2016-07-06 | 日本無線株式会社 | Driving simulator |
DE102012016765A1 (en) * | 2012-08-27 | 2014-02-27 | Dr. Ing. H.C. F. Porsche Ag | Motor car simulation system for simulating and optimizing outer mirror to guide motor car, has simulation device virtually and three-dimensionally simulating mirror and image visible in mirror based on parameters of situation and mirror |
DE102012220321A1 (en) * | 2012-11-08 | 2014-06-12 | Bayerische Motoren Werke Aktiengesellschaft | Method for demonstrating driver assistance system for avoiding accidents of motor vehicle, involves displaying animated virtual traffic situation on display and detecting that driver gives no attention to traffic situation |
CN103854539A (en) * | 2012-12-07 | 2014-06-11 | 永泰软件有限公司 | Electronic road test monitoring system based on video analysis |
US9619695B2 (en) * | 2013-06-06 | 2017-04-11 | Visteon Global Technologies, Inc. | Gaze time indicator for a vehicle |
CN105788401B (en) * | 2016-04-20 | 2018-09-28 | 公安部交通管理科学研究所 | Defensive drive simulation based on real vehicle body experiences training system |
US10083620B2 (en) * | 2016-07-29 | 2018-09-25 | Nissan North America, Inc. | Smart tutorial that learns and adapts |
SE2030301A1 (en) * | 2020-09-30 | 2022-03-31 | Chadalavada Ravi Teja | Method and system for driving skill feedback |
FR3123491A1 (en) * | 2021-05-31 | 2022-12-02 | Psa Automobiles Sa | Car driving simulator |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5138555A (en) | 1990-06-28 | 1992-08-11 | Albrecht Robert E | Helmet mounted display adaptive predictive tracking |
EP0596868A2 (en) | 1988-07-14 | 1994-05-11 | Atr Communication Systems Research Laboratories | Eye tracking method using an image pickup apparatus |
US5373857A (en) * | 1993-06-18 | 1994-12-20 | Forte Technologies, Inc. | Head tracking apparatus |
EP0660291A1 (en) | 1993-12-23 | 1995-06-28 | Thomson-Csf | Visual simulating device for a vehicle with monoscopic parallax |
US5471542A (en) | 1993-09-27 | 1995-11-28 | Ragland; Richard R. | Point-of-gaze tracker |
US5583795A (en) * | 1995-03-17 | 1996-12-10 | The United States Of America As Represented By The Secretary Of The Army | Apparatus for measuring eye gaze and fixation duration, and method therefor |
US5764291A (en) * | 1994-09-30 | 1998-06-09 | Apple Computer, Inc. | Apparatus and method for orientation-dependent camera exposure and focus setting optimization |
US5839000A (en) * | 1997-11-10 | 1998-11-17 | Sharp Laboratories Of America, Inc. | Automatic zoom magnification control using detection of eyelid condition |
EP0990416A1 (en) | 1998-10-01 | 2000-04-05 | Mitsubishi Denki Kabushiki Kaisha | System for classifying an individual's gaze direction |
Family Cites Families (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH0431172U (en) * | 1990-07-11 | 1992-03-12 | ||
JPH04129173U (en) * | 1991-05-13 | 1992-11-25 | 三菱重工業株式会社 | Visibility target acquisition and tracking evaluation device |
JPH06189906A (en) * | 1992-12-26 | 1994-07-12 | Nissan Motor Co Ltd | Visual axial direction measuring device |
JPH07141095A (en) * | 1993-11-17 | 1995-06-02 | Matsushita Electric Ind Co Ltd | Training device |
JPH0736299U (en) * | 1993-12-03 | 1995-07-04 | 昌久 時山 | Drowsiness prevention device for vehicles |
JP2993345B2 (en) * | 1993-12-29 | 1999-12-20 | 日産自動車株式会社 | Display device for vehicles |
JP3134667B2 (en) * | 1994-06-02 | 2001-02-13 | 日産自動車株式会社 | Display device for vehicles |
JP3119076B2 (en) * | 1994-06-02 | 2000-12-18 | 日産自動車株式会社 | Warning display device for vehicles |
JP3257310B2 (en) * | 1994-12-22 | 2002-02-18 | トヨタ自動車株式会社 | Inattentive driving detection device |
JPH1097179A (en) * | 1996-09-20 | 1998-04-14 | Sanyo Electric Works Ltd | Running information recording device, running information analyzer, and vehicle training system using both devices |
US6200139B1 (en) * | 1999-02-26 | 2001-03-13 | Intel Corporation | Operator training system |
-
1999
- 1999-02-26 US US09/258,848 patent/US6200139B1/en not_active Expired - Lifetime
- 1999-12-28 TW TW088123109A patent/TW440807B/en not_active IP Right Cessation
-
2000
- 2000-01-12 WO PCT/US2000/000723 patent/WO2000051097A2/en active IP Right Grant
- 2000-01-12 JP JP2000601623A patent/JP3787493B2/en not_active Expired - Fee Related
- 2000-01-12 DE DE60009057T patent/DE60009057T2/en not_active Expired - Lifetime
- 2000-01-12 KR KR10-2001-7010227A patent/KR100416152B1/en not_active IP Right Cessation
- 2000-01-12 AU AU25028/00A patent/AU2502800A/en not_active Abandoned
- 2000-01-12 AT AT00903253T patent/ATE262207T1/en not_active IP Right Cessation
- 2000-01-12 CN CNB008043183A patent/CN1248174C/en not_active Expired - Fee Related
- 2000-01-12 EP EP00903253A patent/EP1177544B1/en not_active Expired - Lifetime
-
2005
- 2005-11-08 JP JP2005323273A patent/JP2006163375A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0596868A2 (en) | 1988-07-14 | 1994-05-11 | Atr Communication Systems Research Laboratories | Eye tracking method using an image pickup apparatus |
US5138555A (en) | 1990-06-28 | 1992-08-11 | Albrecht Robert E | Helmet mounted display adaptive predictive tracking |
US5373857A (en) * | 1993-06-18 | 1994-12-20 | Forte Technologies, Inc. | Head tracking apparatus |
US5471542A (en) | 1993-09-27 | 1995-11-28 | Ragland; Richard R. | Point-of-gaze tracker |
EP0660291A1 (en) | 1993-12-23 | 1995-06-28 | Thomson-Csf | Visual simulating device for a vehicle with monoscopic parallax |
US5764291A (en) * | 1994-09-30 | 1998-06-09 | Apple Computer, Inc. | Apparatus and method for orientation-dependent camera exposure and focus setting optimization |
US5583795A (en) * | 1995-03-17 | 1996-12-10 | The United States Of America As Represented By The Secretary Of The Army | Apparatus for measuring eye gaze and fixation duration, and method therefor |
US5839000A (en) * | 1997-11-10 | 1998-11-17 | Sharp Laboratories Of America, Inc. | Automatic zoom magnification control using detection of eyelid condition |
EP0990416A1 (en) | 1998-10-01 | 2000-04-05 | Mitsubishi Denki Kabushiki Kaisha | System for classifying an individual's gaze direction |
Non-Patent Citations (2)
Title |
---|
Determination of the Point of Fixation in a Head Fixed Coordinate System, by Liu, prototype released 1997 and published Nov. 28, 1998. * |
Eye Gaze Tracking for Visually Controlled Interactive Stereoscopic Displays by Talmi et al., published Nov. 28, 1998. * |
Cited By (122)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070280505A1 (en) * | 1995-06-07 | 2007-12-06 | Automotive Technologies International, Inc. | Eye Monitoring System and Method for Vehicular Occupants |
US7788008B2 (en) * | 1995-06-07 | 2010-08-31 | Automotive Technologies International, Inc. | Eye monitoring system and method for vehicular occupants |
JP2002538498A (en) * | 1999-02-26 | 2002-11-12 | インテル コーポレイション | Vehicle driver training system, vehicle driver evaluation method, and device |
US20080048930A1 (en) * | 1999-12-15 | 2008-02-28 | Automotive Technologies International, Inc. | Vehicular Heads-Up Display System |
US8686922B2 (en) | 1999-12-15 | 2014-04-01 | American Vehicular Sciences Llc | Eye-location dependent vehicular heads-up display system |
US20080276191A1 (en) * | 1999-12-15 | 2008-11-06 | Automotive Technologies International, Inc. | Vehicular Heads-Up Display System |
US20080158096A1 (en) * | 1999-12-15 | 2008-07-03 | Automotive Technologies International, Inc. | Eye-Location Dependent Vehicular Heads-Up Display System |
US8032264B2 (en) | 1999-12-15 | 2011-10-04 | Automotive Technologies International, Inc. | Vehicular heads-up display system |
US8818647B2 (en) | 1999-12-15 | 2014-08-26 | American Vehicular Sciences Llc | Vehicular heads-up display system |
US7245741B1 (en) * | 2000-11-14 | 2007-07-17 | Siemens Aktiengesellschaft | Method and device for determining whether the interior of a vehicle is occupied |
US6612841B2 (en) * | 2000-12-08 | 2003-09-02 | Daimler Chrysler Ag | Information system for providing explanatory information on functional elements or controls in motor vehicles |
US6397137B1 (en) * | 2001-03-02 | 2002-05-28 | International Business Machines Corporation | System and method for selection of vehicular sideview mirrors via eye gaze |
US20030012408A1 (en) * | 2001-05-09 | 2003-01-16 | Jean-Yves Bouguet | Method and system using a data-driven model for monocular face tracking |
US9400921B2 (en) * | 2001-05-09 | 2016-07-26 | Intel Corporation | Method and system using a data-driven model for monocular face tracking |
US20110131026A1 (en) * | 2002-04-05 | 2011-06-02 | Konstantin Sizov | Portable in-the-vehicle road simulator |
US10217374B2 (en) | 2002-04-05 | 2019-02-26 | Konstantin Sizov | Portable in-the-vehicle road simulator |
US8412499B2 (en) | 2002-04-05 | 2013-04-02 | Konstantin Sizov | Portable in-the-vehicle road simulator |
US20040167761A1 (en) * | 2002-04-05 | 2004-08-26 | Konstantin Sizov | Portable in-the-vehicle road simulator |
US20070271078A1 (en) * | 2002-06-25 | 2007-11-22 | New York Air Brake Corporation | Remote Control Locomotive Simulator |
WO2004015653A1 (en) * | 2002-08-09 | 2004-02-19 | Best Practice Deployment As | A system for computer assisted driving lessons |
US20060057543A1 (en) * | 2002-08-09 | 2006-03-16 | Best Practice Deployment As | System for computer assisted driving lessons |
US6859144B2 (en) | 2003-02-05 | 2005-02-22 | Delphi Technologies, Inc. | Vehicle situation alert system with eye gaze controlled alert signal generation |
US20040150514A1 (en) * | 2003-02-05 | 2004-08-05 | Newman Timothy J. | Vehicle situation alert system with eye gaze controlled alert signal generation |
US20090040196A1 (en) * | 2003-08-27 | 2009-02-12 | Bernd Duckstein | Method of controlling the display of various data in a vehicle and Opto-acoustic data unit |
US8010283B2 (en) | 2005-03-02 | 2011-08-30 | Denso Corporation | Driving evaluation system and server |
US20060200277A1 (en) * | 2005-03-02 | 2006-09-07 | Denso Corporation | Driving evaluation system and server |
US20070047517A1 (en) * | 2005-08-29 | 2007-03-01 | Hua Xu | Method and apparatus for altering a media activity |
US9633318B2 (en) | 2005-12-08 | 2017-04-25 | Smartdrive Systems, Inc. | Vehicle event recorder systems |
US8880279B2 (en) | 2005-12-08 | 2014-11-04 | Smartdrive Systems, Inc. | Memory management in event recording systems |
US20090157255A1 (en) * | 2005-12-08 | 2009-06-18 | Smart Drive Systems, Inc. | Vehicle Event Recorder Systems |
US9226004B1 (en) | 2005-12-08 | 2015-12-29 | Smartdrive Systems, Inc. | Memory management in event recording systems |
US9911253B2 (en) | 2005-12-08 | 2018-03-06 | Smartdrive Systems, Inc. | Memory management in event recording systems |
US10878646B2 (en) | 2005-12-08 | 2020-12-29 | Smartdrive Systems, Inc. | Vehicle event recorder systems |
US9402060B2 (en) | 2006-03-16 | 2016-07-26 | Smartdrive Systems, Inc. | Vehicle event recorders with integrated web server |
US9942526B2 (en) | 2006-03-16 | 2018-04-10 | Smartdrive Systems, Inc. | Vehicle event recorders with integrated web server |
US9566910B2 (en) | 2006-03-16 | 2017-02-14 | Smartdrive Systems, Inc. | Vehicle event recorder systems and networks having integrated cellular wireless communications systems |
US9472029B2 (en) | 2006-03-16 | 2016-10-18 | Smartdrive Systems, Inc. | Vehicle event recorder systems and networks having integrated cellular wireless communications systems |
US20070219685A1 (en) * | 2006-03-16 | 2007-09-20 | James Plante | Vehicle event recorders with integrated web server |
US9691195B2 (en) | 2006-03-16 | 2017-06-27 | Smartdrive Systems, Inc. | Vehicle event recorder systems and networks having integrated cellular wireless communications systems |
US9208129B2 (en) | 2006-03-16 | 2015-12-08 | Smartdrive Systems, Inc. | Vehicle event recorder systems and networks having integrated cellular wireless communications systems |
US10404951B2 (en) | 2006-03-16 | 2019-09-03 | Smartdrive Systems, Inc. | Vehicle event recorders with integrated web server |
US9201842B2 (en) | 2006-03-16 | 2015-12-01 | Smartdrive Systems, Inc. | Vehicle event recorder systems and networks having integrated cellular wireless communications systems |
US9545881B2 (en) | 2006-03-16 | 2017-01-17 | Smartdrive Systems, Inc. | Vehicle event recorder systems and networks having integrated cellular wireless communications systems |
US8996240B2 (en) | 2006-03-16 | 2015-03-31 | Smartdrive Systems, Inc. | Vehicle event recorders with integrated web server |
US20070257804A1 (en) * | 2006-05-08 | 2007-11-08 | Drivecam, Inc. | System and Method for Reducing Driving Risk With Foresight |
US9792319B2 (en) | 2006-05-08 | 2017-10-17 | Lytx, Inc. | System and method for identifying non-event profiles |
US8314708B2 (en) * | 2006-05-08 | 2012-11-20 | Drivecam, Inc. | System and method for reducing driving risk with foresight |
US7659827B2 (en) * | 2006-05-08 | 2010-02-09 | Drivecam, Inc. | System and method for taking risk out of driving |
US20070257815A1 (en) * | 2006-05-08 | 2007-11-08 | Drivecam, Inc. | System and method for taking risk out of driving |
US20070271105A1 (en) * | 2006-05-09 | 2007-11-22 | Drivecam, Inc. | System and Method for Reducing Driving Risk With Hindsignt |
US10235655B2 (en) | 2006-05-09 | 2019-03-19 | Lytx, Inc. | System and method for reducing driving risk with hindsight |
US9836716B2 (en) | 2006-05-09 | 2017-12-05 | Lytx, Inc. | System and method for reducing driving risk with hindsight |
US9761067B2 (en) | 2006-11-07 | 2017-09-12 | Smartdrive Systems, Inc. | Vehicle operator performance history recording, scoring and reporting systems |
US10682969B2 (en) | 2006-11-07 | 2020-06-16 | Smartdrive Systems, Inc. | Power management systems for automotive video event recorders |
US10339732B2 (en) | 2006-11-07 | 2019-07-02 | Smartdrive Systems, Inc. | Vehicle operator performance history recording, scoring and reporting systems |
US9554080B2 (en) | 2006-11-07 | 2017-01-24 | Smartdrive Systems, Inc. | Power management systems for automotive video event recorders |
US10053032B2 (en) | 2006-11-07 | 2018-08-21 | Smartdrive Systems, Inc. | Power management systems for automotive video event recorders |
US8989959B2 (en) | 2006-11-07 | 2015-03-24 | Smartdrive Systems, Inc. | Vehicle operator performance history recording, scoring and reporting systems |
US10471828B2 (en) | 2006-11-09 | 2019-11-12 | Smartdrive Systems, Inc. | Vehicle exception event management systems |
US20080111666A1 (en) * | 2006-11-09 | 2008-05-15 | Smartdrive Systems Inc. | Vehicle exception event management systems |
US9738156B2 (en) | 2006-11-09 | 2017-08-22 | Smartdrive Systems, Inc. | Vehicle exception event management systems |
US11623517B2 (en) | 2006-11-09 | 2023-04-11 | SmartDriven Systems, Inc. | Vehicle exception event management systems |
US8868288B2 (en) | 2006-11-09 | 2014-10-21 | Smartdrive Systems, Inc. | Vehicle exception event management systems |
US20080208646A1 (en) * | 2007-02-28 | 2008-08-28 | Thompson Ralph E | Method for increasing productivity and safety in the mining and heavy construction industries |
US9679424B2 (en) | 2007-05-08 | 2017-06-13 | Smartdrive Systems, Inc. | Distributed vehicle event recorder systems having a portable memory data transfer system |
US9183679B2 (en) | 2007-05-08 | 2015-11-10 | Smartdrive Systems, Inc. | Distributed vehicle event recorder systems having a portable memory data transfer system |
US20090063053A1 (en) * | 2007-09-04 | 2009-03-05 | International Business Machines Corporation | Method and system for blind spot identification and warning utilizing visual indicators |
US8645001B2 (en) * | 2007-09-04 | 2014-02-04 | International Business Machines Corporation | Method and system for blind spot identification and warning utilizing visual indicators |
US20090191531A1 (en) * | 2007-12-21 | 2009-07-30 | Joseph Saccocci | Method and Apparatus for Integrating Audio and/or Video With a Book |
EP2296124A1 (en) * | 2008-06-06 | 2011-03-16 | Yamashiro Driving School | System for automatic evaluation of driving behavior |
EP2296124A4 (en) * | 2008-06-06 | 2011-08-10 | Yamashiro Driving School | System for automatic evaluation of driving behavior |
US20100160014A1 (en) * | 2008-11-25 | 2010-06-24 | Mario Galasso | Methods and apparatus for virtual competition |
US9108098B2 (en) * | 2008-11-25 | 2015-08-18 | Fox Factory, Inc. | Methods and apparatus for virtual competition |
US10325512B2 (en) | 2009-09-29 | 2019-06-18 | Advanced Training System Llc | System, method and apparatus for driver training system with dynamic mirrors |
US20130302759A1 (en) * | 2009-09-29 | 2013-11-14 | Advanced Training System Llc | System, Method and Apparatus for Driver Training System with Dynamic Mirrors |
US9418568B2 (en) * | 2009-09-29 | 2016-08-16 | Advanced Training System Llc | System, method and apparatus for driver training system with dynamic mirrors |
US11037461B2 (en) | 2009-09-29 | 2021-06-15 | Advance Training Systems LLC | System, method and apparatus for adaptive driver training |
US11263916B2 (en) | 2009-09-29 | 2022-03-01 | Advanced Training System Llc | System, method and apparatus for adaptive driver training |
US11875707B2 (en) | 2009-09-29 | 2024-01-16 | Advanced Training Systems, Inc. | System, method and apparatus for adaptive driver training |
US20160321941A1 (en) * | 2009-09-29 | 2016-11-03 | Advanced Training System Llc | System, Method and Apparatus for Driver Training System with Dynamic Mirrors |
US20130004920A1 (en) * | 2010-03-24 | 2013-01-03 | Krauss-Maffei Wegmann Gmbh & Co. Kg | Method for Training a Crew Member of a, in Particular, Military Vehicle |
US9202385B2 (en) * | 2010-03-24 | 2015-12-01 | Krauss-Maffei Wegmann Gmbh & Co. Kg | Method for training a crew member of a, in particular, military vehicle |
US9787946B2 (en) * | 2010-05-25 | 2017-10-10 | Fujitsu Limited | Picture processing device and method |
US20130083197A1 (en) * | 2010-05-25 | 2013-04-04 | Fujitsu Limited | Storage managing method and storage management device |
US20120259246A1 (en) * | 2010-09-15 | 2012-10-11 | Erbicol Sa | Reflex measuring apparatus determining the reactivity of a driver and its application |
US9082315B2 (en) | 2012-03-08 | 2015-07-14 | Industrial Technology Research Institute | Surrounding bird view monitoring image generation method and training method, automobile-side device, and training device thereof |
US10102773B2 (en) | 2012-04-23 | 2018-10-16 | The Boeing Company | Methods for evaluating human performance in aviation |
US20130280678A1 (en) * | 2012-04-23 | 2013-10-24 | The Boeing Company | Aircrew training system |
US9728228B2 (en) | 2012-08-10 | 2017-08-08 | Smartdrive Systems, Inc. | Vehicle event playback apparatus and methods |
US10818112B2 (en) | 2013-10-16 | 2020-10-27 | Smartdrive Systems, Inc. | Vehicle event playback apparatus and methods |
US10019858B2 (en) | 2013-10-16 | 2018-07-10 | Smartdrive Systems, Inc. | Vehicle event playback apparatus and methods |
US9501878B2 (en) | 2013-10-16 | 2016-11-22 | Smartdrive Systems, Inc. | Vehicle event playback apparatus and methods |
US9610955B2 (en) | 2013-11-11 | 2017-04-04 | Smartdrive Systems, Inc. | Vehicle fuel consumption monitor and feedback systems |
US11260878B2 (en) | 2013-11-11 | 2022-03-01 | Smartdrive Systems, Inc. | Vehicle fuel consumption monitor and feedback systems |
US11884255B2 (en) | 2013-11-11 | 2024-01-30 | Smartdrive Systems, Inc. | Vehicle fuel consumption monitor and feedback systems |
US10249105B2 (en) | 2014-02-21 | 2019-04-02 | Smartdrive Systems, Inc. | System and method to detect execution of driving maneuvers |
US9594371B1 (en) | 2014-02-21 | 2017-03-14 | Smartdrive Systems, Inc. | System and method to detect execution of driving maneuvers |
US10497187B2 (en) | 2014-02-21 | 2019-12-03 | Smartdrive Systems, Inc. | System and method to detect execution of driving maneuvers |
US11734964B2 (en) | 2014-02-21 | 2023-08-22 | Smartdrive Systems, Inc. | System and method to detect execution of driving maneuvers |
US8892310B1 (en) | 2014-02-21 | 2014-11-18 | Smartdrive Systems, Inc. | System and method to detect execution of driving maneuvers |
US11250649B2 (en) | 2014-02-21 | 2022-02-15 | Smartdrive Systems, Inc. | System and method to detect execution of driving maneuvers |
US9953470B1 (en) | 2014-02-21 | 2018-04-24 | Smartdrive Systems, Inc. | System and method to detect execution of driving maneuvers |
US20150310758A1 (en) * | 2014-04-26 | 2015-10-29 | The Travelers Indemnity Company | Systems, methods, and apparatus for generating customized virtual reality experiences |
US20160107642A1 (en) * | 2014-10-15 | 2016-04-21 | Continental Automotive Systems, Inc. | Collision avoidance system using driver eye monitoring during gear change |
CN105523043A (en) * | 2014-10-15 | 2016-04-27 | 大陆汽车系统公司 | Collision avoidance system using driver eye monitoring during gear change |
US9663127B2 (en) | 2014-10-28 | 2017-05-30 | Smartdrive Systems, Inc. | Rail vehicle event detection and recording system |
US11069257B2 (en) | 2014-11-13 | 2021-07-20 | Smartdrive Systems, Inc. | System and method for detecting a vehicle event and generating review criteria |
US10930093B2 (en) | 2015-04-01 | 2021-02-23 | Smartdrive Systems, Inc. | Vehicle event recording system and method |
CN106530890A (en) * | 2016-02-03 | 2017-03-22 | 北京易驾佳信息科技有限公司 | Intelligent driving training system and method based on vehicle posture and trajectory perception |
CN106530890B (en) * | 2016-02-03 | 2018-07-06 | 北京易驾佳信息科技有限公司 | A kind of intelligent driving training system perceived based on vehicle pose and track and method |
US10793160B2 (en) | 2016-03-22 | 2020-10-06 | Smartdrive Systems, Inc. | System and method to determine responsiveness of a driver of a vehicle to feedback regarding driving behaviors |
US11254317B2 (en) | 2016-03-22 | 2022-02-22 | Smartdrive Systems, Inc. | System and method to determine responsiveness of a driver of a vehicle to feedback regarding driving behaviors |
US9639804B1 (en) | 2016-03-22 | 2017-05-02 | Smartdrive Systems, Inc. | System and method to determine responsiveness of a driver of a vehicle to feedback regarding driving behaviors |
US11731636B2 (en) | 2016-03-22 | 2023-08-22 | Smartdrive Systems, Inc. | System and method to determine responsiveness of a driver of a vehicle to feedback regarding driving behaviors |
US10692392B2 (en) * | 2016-11-02 | 2020-06-23 | Kyocera Document Solutions Inc. | Display apparatus and method for displaying guidance video |
US20190304325A1 (en) * | 2018-03-30 | 2019-10-03 | Cae Inc. | Standard operating procedures feedback during an interactive computer simulation |
US11715387B2 (en) * | 2018-03-30 | 2023-08-01 | Cae Inc. | Standard operating procedures feedback during an interactive computer simulation |
JP2020024278A (en) * | 2018-08-07 | 2020-02-13 | 国立大学法人名古屋大学 | Information processing device, information processing system, information processing method, and computer program |
WO2020031949A1 (en) * | 2018-08-07 | 2020-02-13 | 国立大学法人名古屋大学 | Information processing device, information processing system, information processing method, and computer program |
CN109102194A (en) * | 2018-08-20 | 2018-12-28 | 合肥优控科技有限公司 | A kind of driving behavior methods of marking based on global positioning system and inertial sensor |
US10625745B1 (en) * | 2019-01-07 | 2020-04-21 | Sean Tremblay | Automated driver's exam system |
US10699556B1 (en) | 2019-03-01 | 2020-06-30 | Honeywell International Inc. | System and method for plant operation gap analysis and guidance solution |
Also Published As
Publication number | Publication date |
---|---|
KR20010102090A (en) | 2001-11-15 |
TW440807B (en) | 2001-06-16 |
CN1248174C (en) | 2006-03-29 |
DE60009057D1 (en) | 2004-04-22 |
WO2000051097A3 (en) | 2001-11-29 |
AU2502800A (en) | 2000-09-14 |
ATE262207T1 (en) | 2004-04-15 |
JP2002538498A (en) | 2002-11-12 |
DE60009057T2 (en) | 2004-08-05 |
KR100416152B1 (en) | 2004-01-24 |
JP3787493B2 (en) | 2006-06-21 |
WO2000051097A2 (en) | 2000-08-31 |
EP1177544B1 (en) | 2004-03-17 |
CN1470044A (en) | 2004-01-21 |
EP1177544A2 (en) | 2002-02-06 |
JP2006163375A (en) | 2006-06-22 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US6200139B1 (en) | Operator training system | |
Braunagel et al. | Ready for take-over? A new driver assistance system for an automated classification of driver take-over readiness | |
US10705600B2 (en) | Method and apparatus for detecting and following an eye and/or the gaze direction thereof | |
CN105741643B (en) | Automatic implementation method, device and system for training driving technology | |
US7162054B2 (en) | Augmented reality technology | |
US5781505A (en) | System and method for locating a trajectory and a source of a projectile | |
CN102510480B (en) | Automatic calibrating and tracking system of driver sight line | |
Jiménez et al. | Gaze fixation system for the evaluation of driver distractions induced by IVIS | |
US20110260965A1 (en) | Apparatus and method of user interface for manipulating multimedia contents in vehicle | |
CN109849788B (en) | Information providing method, device and system | |
US10325512B2 (en) | System, method and apparatus for driver training system with dynamic mirrors | |
US20170213474A1 (en) | System, Method and Apparatus for Driver Training System with Stress Management | |
EP3654143B1 (en) | Method, apparatus and system for determining line of sight, and wearable eye movement device | |
CN107380064B (en) | Vehicle-mounted sight tracking device based on augmented reality technology | |
US20200005663A1 (en) | System, Method and Apparatus for Driver Training System with Stress Management | |
JPH07505308A (en) | Perspective motility test method and device | |
Guasconi et al. | A low-cost implementation of an eye tracking system for driver's gaze analysis | |
US9798941B2 (en) | Driver visual sensor behavior study device | |
Mackenzie et al. | Characterizing visual attention during driving and non-driving hazard perception tasks in a simulated environment | |
CN113767026A (en) | Method for operating a motor vehicle | |
US20190339786A1 (en) | Data processing device, monitoring system, awakening system, data processing method, and data processing program | |
Hamada et al. | Detecting method applicable to individual features for drivers' drowsiness | |
US20210295731A1 (en) | Information processing apparatus, information processing system, information processing method, and computer program | |
JP2988235B2 (en) | Gaze direction detection device for vehicles | |
RU2425331C2 (en) | Method to process data to define visual figures on visual stage |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: INTEL CORPORATION, CALIFORNIA Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:CLAPPER, EDWARD C.;REEL/FRAME:009794/0971 Effective date: 19990219 |
|
STCF | Information on status: patent grant |
Free format text: PATENTED CASE |
|
FEPP | Fee payment procedure |
Free format text: PAYOR NUMBER ASSIGNED (ORIGINAL EVENT CODE: ASPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY |
|
FPAY | Fee payment |
Year of fee payment: 4 |
|
FEPP | Fee payment procedure |
Free format text: PAYER NUMBER DE-ASSIGNED (ORIGINAL EVENT CODE: RMPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY Free format text: PAYOR NUMBER ASSIGNED (ORIGINAL EVENT CODE: ASPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY |
|
FPAY | Fee payment |
Year of fee payment: 8 |
|
FPAY | Fee payment |
Year of fee payment: 12 |